Dynamic Vehicle Selection and Bandwidth Allocation for Federated Learning With Long-Term Latency Constraint in Vehicular Networks
Federated learning (FL) is increasingly adopted in vehicular networks to facilitate intelligent transportation applications while maintaining the confidentiality of onboard data. However, due to vehicle mobility, heterogeneity, and limited bandwidth resources, how to dynamically select participating vehicles and alloca...